Making Predictions and Deploying Models

What do you mean by deploying models?

While there are lots of interesting academic uses of machine learning, the healthcare.ai team believes that in order to improve outcomes, we must bring ML predictions to front line clinicians and the rest of the healthcare team on a timely basis.

To do this you need a robust way to move your ML models into a production setting. These tools make this process easier.

Database Notes

Most of our current users operate on MSSQL servers. We have therefore spent the most time so far making that pipeline robust.

HealthcareAI can work with other databases such as MySQL and SQLite. You can see examples of their use in databases.

Step 3: Make some predictions

Please note that healthcare.ai can provide lots of different outputs formats for predictions. To find out more, please read the predictions docs. If you are working on a Health Catalyst EDW, please see the Health Catalyst EDW Predictions doc.